{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Maggy Ablation: Feature and Model Ablation for the Titanic Dataset"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Last Updated: 2019/10/14*\n",
    "\n",
    "In this notebook, we demonstrate Maggy's Ablation API, while using a TensorFlow Keras Sequential model trained on the [Titanic Dataset](https://www.kaggle.com/c/titanic/data). To be able to follow along, make sure you have the Titanic training dataset registered on your Project's Feature Store, as explained [in this example notebook](https://github.com/logicalclocks/hops-examples/blob/master/notebooks/featurestore/datasets/TitanicTrainingDatasetPython.ipynb).\n",
    "\n",
    "## Wait ... What is an *Ablation Study*?\n",
    "\n",
    "An Ablation Study, in medical and psychological research, is a research method in which the roles and functions of an organ, tissue, or any part of a living organism, is examined through its surgical removal and observing the behaviour of the organism in its absence. This method, also known as experimental ablation, was pioneered by the French physiologist [Marie Jean Pierre Flourens](https://en.wikipedia.org/wiki/Jean_Pierre_Flourens) in the early nineteenth century. Flourens would perform ablative brain surgeries on animals, removing different parts of their nervous systems and observing the effects on their behaviour. This method has since been used in a variety of disciplines, but most prominently in medical and psychological research and neuroscience.\n",
    "\n",
    "## What Does it Have to Do with Machine Learning?\n",
    "\n",
    "In the context of machine learning, we can define ablation study as *“a scientific examination of a machine learning system by removing its building blocks in order to gain insight on their effects on its overall performance”*. Dataset features and model components are notable examples of these building blocks (hence we use their corresponding terms of **feature ablation** and **model ablation**), but any design choice or module of the system may be included in an ablation study.\n",
    "\n",
    "## Experiments and Trials\n",
    "\n",
    "We can think that an ablation study is an *experiment* that consists of several *trials*. For example, each model ablation trial involves training a model with one or more of its components (e.g. a layer) removed. Similarly, a feature ablation trial involves training a model using a different set of dataset features, and observing the outcomes.\n",
    "\n",
    "![image.png](attachment:image.png)\n",
    "\n",
    "The image above shows a sample feature ablation trial (up) and a sample layer ablation trial (down). For example, in the sample layer ablation trial, we remove the last hidden layer from the base model, train the resulting model, and observe its accuracy."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ablation Studies with Maggy\n",
    "\n",
    "With Maggy, performing ablation studies of your machine learning or deep learning systems is a fairly simple task that consists of the following steps:\n",
    "\n",
    "1. Creating an `AblationStudy` instance,\n",
    "2. Specifying the components that you want to ablate by *including* them in your `AblationStudy` instance,\n",
    "3. Defining a *base model generator function* and/or a *dataset generator function*,\n",
    "4. Wrapping your TensorFlow/Keras code in a Python function (let's call it **training function**) that receives two arguments (`model_function` and `dataset_function`), and\n",
    "5. Launching your experiment with Maggy while specifying an *ablation policy*.\n",
    "\n",
    "It's as simple as that.\n",
    "\n",
    "## What Changes Should I Make in my TensorFlow/Keras Code?\n",
    "\n",
    "Not so much. You'll see an example shortly, but the most important thing is:\n",
    "\n",
    "- For **model ablation**, you need to define a function that returns a TF/Keras `model`, and use that in your code instead of defining the model in your training function. If you want to perform **layer ablation**, then you should provide a `name` argument while adding layers to your `tf.keras.Sequential` model, and include those names in your `AblationStudy` instance as well.\n",
    "\n",
    "- For **feature ablation**:\n",
    "    - if you have your training dataset in the [**Feature Store**](https://www.logicalclocks.com/featurestorepage) (congratulations! :D) in form of `tfrecord`, you can directly include the features you want to ablate using their names and calling a *dataset generator function* in your training function. The dataset generator functions will be created under the hood by maggy for each feature ablation trial.\n",
    "    - alternatively, you can define your own *dataset generator function* and include it in your `AblationStudy` instance. A separate example notebook will be created to show you how you can do this.\n",
    "    \n",
    "Now let's see how this actually works.\n",
    "Get your `SparkSession` by executing the following cell:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Spark application\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr><th>ID</th><th>YARN Application ID</th><th>Kind</th><th>State</th><th>Spark UI</th><th>Driver log</th><th>Current session?</th></tr><tr><td>8</td><td>application_1568986312014_0009</td><td>pyspark</td><td>idle</td><td><a target=\"_blank\" href=\"http://hopsworks0.logicalclocks.com:8088/proxy/application_1568986312014_0009/\">Link</a></td><td><a target=\"_blank\" href=\"http://hopsworks0.logicalclocks.com:8042/node/containerlogs/container_e01_1568986312014_0009_01_000001/maggy_ablation__meb10000\">Link</a></td><td>✔</td></tr></table>"
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     "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SparkSession available as 'spark'.\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "from hops import hdfs\n",
    "from hops import featurestore\n",
    "import maggy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The next step is to create an `AblationStudy` instance. Here, the required arguments are 1) the name of your training dataset *as it is in your project's feature store*, and 2) * the name of the *label* column.\n",
    "\n",
    "You can also provide the version of your training dataset in the feature store, but the default version is `1`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create an AblationStudy instance.\n",
    "\n",
    "from maggy.ablation import AblationStudy\n",
    "\n",
    "ablation_study = AblationStudy('titanic_train_dataset', training_dataset_version=1,\n",
    "                              label_name='survived')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature Ablation\n",
    "\n",
    "We perform feature ablation by **including** features in our `AblationStudy` instance. Including a feature means that there will be a trial where the model will be trained *without* that feature. In other words, you include features in the ablation study so that they will be excluded from the training dataset.\n",
    "\n",
    "We have the following features in our training dataset:\n",
    "\n",
    "`['age', 'fare', 'parch', 'pclass', 'sex', 'sibsp', 'survived']`\n",
    "\n",
    "You can include features using `features.include()` method of your `AblationStudy` instance, by passing the names of the features, either separately or as a list of strings:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#include features one by one\n",
    "\n",
    "ablation_study.features.include('pclass')\n",
    "\n",
    "# include a list of features\n",
    "\n",
    "list_of_features = ['fare', 'sibsp']\n",
    "ablation_study.features.include(list_of_features)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's see what features we have in our ablation study, using `features.list_all()`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pclass\n",
      "sibsp\n",
      "fare"
     ]
    }
   ],
   "source": [
    "ablation_study.features.list_all()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So, we have the above features *included* in our ablation study. Based on the configuration we have so far, once we launch the ablation study experiment we will have 4 trials:\n",
    "- a trial with all the features, except for `fare`,\n",
    "- another trial with all the features except `sibsp`,\n",
    "- another one again with all the features, except for `pclass`,\n",
    "- and of course, the **base trial** that has all the features of the training dataset.\n",
    "\n",
    "\n",
    "Now let's see how we can perform model ablation with Maggy."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model Ablation\n",
    "\n",
    "By *model ablation* we mean removing the *components* of the model and observing the resulting performance. Depending on which component of the model you want to ablate, we could have different types of model ablation, but one thing they all share in common is that we should have one *base model* in order to compare the other models with it. So we should define a *base model generator function* that returns a `tf.keras.Model`.\n",
    "\n",
    "Maybe the simplest type of model ablation that can be performed on a sequential deep learning model is to remove some of its layers, so let's just do that. We call this *layer ablation*. In Keras, when you are adding layers to your `Sequential` model, you can provide a `name` argument with a custom name. The Maggy *ablator* then uses these `name`s to identify and remove the layers. Then, for each trial, the ablator returns a corresponding *model generator function* that differs from the base model generator in terms of its layers.\n",
    "\n",
    "By the way, if you do not provide a `name` argument while adding a layer, that layer's name will be prefixed by its layer class name, followed by an incremental number, e.g., `dense_1`.\n",
    "\n",
    "In the following cell, we define a base model generator function that once executed will return a `Sequential` model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# define the base model generator function\n",
    "\n",
    "def base_model_generator():\n",
    "    model = tf.keras.Sequential()\n",
    "    model.add(tf.keras.layers.Dense(64, activation='relu'))\n",
    "    model.add(tf.keras.layers.Dense(64, name='my_dense_two', activation='relu'))\n",
    "    model.add(tf.keras.layers.Dense(32, name='my_dense_three', activation='relu'))\n",
    "    model.add(tf.keras.layers.Dense(32, name='my_dense_four', activation='relu'))\n",
    "    model.add(tf.keras.layers.Dense(2, name='my_dense_sigmoid', activation='sigmoid'))\n",
    "    # output layer\n",
    "    model.add(tf.keras.layers.Dense(1, activation='linear'))\n",
    "    return model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After that, we should pass the base model generator function to our `AblationStudy` instance:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# set the base model generator\n",
    "\n",
    "ablation_study.model.set_base_model_generator(base_model_generator)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Single Layers\n",
    "Adding layers to your ablation study is easy - just pass their names to `model.layers.include()`, or pass a `list` of strings of the names. Of course, these names should match the names you define in your base model generator function:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# include some single layers in the ablation study\n",
    "\n",
    "ablation_study.model.layers.include('my_dense_two', 'my_dense_three', 'my_dense_four', 'my_dense_sigmoid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Included single layers are: \n",
      "\n",
      "my_dense_three\n",
      "my_dense_sigmoid\n",
      "my_dense_four\n",
      "my_dense_two"
     ]
    }
   ],
   "source": [
    "# see the included single layers\n",
    "\n",
    "ablation_study.model.layers.print_all()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Layer Groups\n",
    "\n",
    "For simple, not-so-deep models, it might make sense to add the layers to the model one-by-one. However, in many well-known neural network architectures, we have tens or hundreds of layers that sometimes come in *blocks* or *modules*, and are usually generated using constructs like `for` loops.\n",
    "\n",
    "In Maggy, you can easily include such layers in your ablation study experiment, using `model.layers.include_groups()` method of your `AblationStudy` instance. You can either pass it a `list` of layers that should be regarded as a single *layer group*, or provide it with a `prefix` argument:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# add a layer group using a list\n",
    "\n",
    "ablation_study.model.layers.include_groups(['my_dense_two', 'my_dense_four'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# add a layer group using a prefix\n",
    "\n",
    "ablation_study.model.layers.include_groups(prefix='my_dense')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Included layer groups are: \n",
      "\n",
      "---- All layers prefixed \"my_dense\"\n",
      "--- Layer group ['my_dense_four', 'my_dense_two']"
     ]
    }
   ],
   "source": [
    "ablation_study.model.layers.print_all_groups()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Just to recap, the ablator will generate one trial per each single layer and one trial per each layer group.\n",
    "\n",
    "Now the only thing you need to do is to wrap your training code in a Python function. You can name this function whatever you wish, but we will refer to it as the *training* or *wrapper* function. The `model_function` and `dataset_function` used in the code are generated by the ablator per each trial, and you should call them in your code. This is your everyday TensorFlow/Keras code:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You are running maggy on Hopsworks."
     ]
    }
   ],
   "source": [
    "# wrap your code in a Python function\n",
    "\n",
    "from maggy import experiment\n",
    "\n",
    "def training_fn(dataset_function, model_function):\n",
    "    import tensorflow as tf\n",
    "    epochs = 5\n",
    "    batch_size = 10\n",
    "    tf_dataset = dataset_function(epochs, batch_size)\n",
    "    model = model_function()\n",
    "    model.compile(optimizer=tf.train.AdamOptimizer(0.001),\n",
    "             loss='binary_crossentropy',\n",
    "             metrics=['accuracy'])\n",
    "    \n",
    "    history = model.fit(tf_dataset, epochs=5, steps_per_epoch=30, verbose=0)\n",
    "    return float(history.history['acc'][-1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And, **lagom**! Lagom is a Swedish word that means \"just the right amount\", and that is how Maggy uses your resources to for parallel trials.\n",
    "You should provide `lagom` with an `ablator`. So far, we have implemented the most natural ablator of them all: *LOCO*, which stands for \"Leave One Component Out\". This ablator will generate one trial per each component included in the ablation study. However, Maggy's developer API allows you to define your own ablator, in case you want to get creative.\n",
    "\n",
    "You can also set a `name` for your experiment so that you can keep history or track its progress in Hopsworks.\n",
    "\n",
    "Let's **lagom** our experiment!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5c3727450ead4f45834cafaf55b7899a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, description='Maggy experiment', max=10, style=ProgressStyle(description_wi…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "------ LOCO Results ------ \n",
      "BEST Config Excludes {\"ablated_feature\": \"pclass\", \"ablated_layer\": \"None\"} -- metric 0.699999988079071\n",
      "WORST Config Excludes {\"ablated_feature\": \"None\", \"ablated_layer\": \"my_dense_two\"} -- metric 0.5699999928474426\n",
      "AVERAGE metric -- 0.6446666657924652\n",
      "Total Job Time 3 minutes, 5 seconds\n"
     ]
    }
   ],
   "source": [
    "# launch the experiment\n",
    "\n",
    "result = experiment.lagom(map_fun=training_fn, experiment_type='ablation',\n",
    "                           ablation_study=ablation_study, \n",
    "                           ablator='loco', \n",
    "                           name='Titanic-LOCO'\n",
    "                          )"
   ]
  }
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